Literature DB >> 26901005

CT in Idiopathic Pulmonary Fibrosis: Diagnosis and Beyond.

James F Gruden1.   

Abstract

OBJECTIVE: This review focuses on recent idiopathic pulmonary fibrosis guidelines with regard to CT-based diagnosis, the limitations and potential sources of diagnostic error in their clinical application, and proposals for future guideline modification and improvement. The review also addresses the use of CT in disease monitoring, prognostic assessment, and therapeutic clinical trials.
CONCLUSION: Ongoing research and clinical experience highlight the need for updating existing guidelines frequently.

Entities:  

Keywords:  CT; diagnosis; high-resolution CT; idiopathic pulmonary fibrosis; interstitial lung disease; usual interstitial pneumonitis

Mesh：

Year:  2016        PMID： 26901005     DOI： 10.2214/AJR.15.15674

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN： 0361-803X            Impact factor:   3.959


  9 in total

1.  A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis.

Authors:  Turkey Refaee; Benjamin Bondue; Gaetan Van Simaeys; Guangyao Wu; Chenggong Yan; Henry C Woodruff; Serge Goldman; Philippe Lambin
Journal:  J Pers Med       Date:  2022-02-28

2.  Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases.

Authors:  Mouhamad Nasser; Marion Colevray; Salim A Si-Mohamed; Olivier Nempont; Pierre-Jean Lartaud; Anna Vlachomitrou; Thomas Broussaud; Kais Ahmad; Julie Traclet; Vincent Cottin; Loic Boussel
Journal:  Eur Radiol       Date:  2022-01-14       Impact factor: 7.034

3.  Longitudinal micro-CT as an outcome measure of interstitial lung disease in TNF-transgenic mice.

Authors:  Richard D Bell; Christopher Rudmann; Ronald W Wood; Edward M Schwarz; Homaira Rahimi
Journal:  PLoS One       Date:  2018-01-10       Impact factor: 3.240

4.  Deep learning and the evaluation of pulmonary fibrosis.

Authors:  David L Levin
Journal:  Lancet Respir Med       Date:  2018-09-16       Impact factor: 30.700

5.  Three-dimensional ultrashort echo time magnetic resonance imaging in assessment of idiopathic pulmonary fibrosis, in comparison with high-resolution computed tomography.

Authors:  Xiaoyan Yang; Min Liu; Jianghui Duan; Haishuang Sun; Jing An; Thomas Benkert; Huaping Dai; Chen Wang
Journal:  Quant Imaging Med Surg       Date:  2022-08

Review 6.  New Developments in Imaging Idiopathic Pulmonary Fibrosis With Hyperpolarized Xenon Magnetic Resonance Imaging.

Authors:  Joseph G Mammarappallil; Leith Rankine; Jim M Wild; Bastiaan Driehuys
Journal:  J Thorac Imaging       Date:  2019-03       Impact factor: 3.000

7.  Impact of pulmonary interstitial lesions on efficacy and prognosis of EGFR-TKI-treated advanced non-small cell lung cancers.

Authors:  Xiang-Yan Zhang; Rui Cao; Yi-Jia Guo; Yan-Hua Zhen; Jia-He Zheng; Le-Tian Huang; Shu-Ling Zhang; Wei Jing; Li Sun; Jian-Zhu Zhao; Cheng-Bo Han; Jie-Tao Ma
Journal:  J Thorac Dis       Date:  2020-03       Impact factor: 3.005

Review 8.  Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19.

Authors:  Danai Khemasuwan; Jeffrey S Sorensen; Henri G Colt
Journal:  Eur Respir Rev       Date:  2020-10-01

Review 9.  Deep learning in interstitial lung disease-how long until daily practice.

Authors:  Ana Adriana Trusculescu; Diana Manolescu; Emanuela Tudorache; Cristian Oancea
Journal:  Eur Radiol       Date:  2020-06-14       Impact factor: 5.315
  9 in total

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